Salient360! [1]} dataset is one of the most used datasets for predicting saliency of omnidirectional images. It was proposed as a part of the 2018 Salient360! Challenge and it is composed of 85 omnidirectional images with their corresponding saliency maps and scanpaths. There are about 36 scanpaths per image where each scanpath has 100 fixation points represented by their coordinates and timestamp.
